Overview
This blog post delves into the intricacies of a significant vulnerability found in Frappe ERPNext 15.57.5 known as CVE-2025-52042. This vulnerability affects a wide range of businesses and organizations utilizing this ERP software, making it a critical issue in the cybersecurity landscape. A successful exploitation could lead to system compromise or data leakage, posing immense risk to sensitive business information.
Vulnerability Summary
CVE ID: CVE-2025-52042
Severity: High (CVSS 8.2)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: Potential system compromise and data leakage
Affected Products
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Product | Affected Versions
Frappe ERPNext | 15.57.5
How the Exploit Works
The vulnerability lies in the function get_rfq_containing_supplier() in the file request_for_quotation.py of Frappe ERPNext 15.57.5. This function is susceptible to SQL injection, a type of attack where an attacker can manipulate SQL queries by injecting malicious code via the txt parameter. If successfully exploited, this vulnerability can allow an attacker to extract all information from the system’s databases.
Conceptual Example Code
Below is a conceptual example of a potential exploitation of this vulnerability. This pseudocode illustrates how a malicious SQL query could be injected into the txt parameter:
txt = "' or '1'='1' --"
query = "SELECT * FROM users WHERE username = '" + txt + "'"
In this example, the SQL query becomes “SELECT * FROM users WHERE username = ” or ‘1’=’1′ –“. This would return all users, effectively bypassing any authentication mechanism in place.
Mitigation and Prevention
The best mitigation for this vulnerability is to apply the vendor patch as soon as it becomes available. In the meantime, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can serve as a temporary mitigation. These systems can help detect and block SQL injection attacks, preventing potential exploitation of this vulnerability.
It is also crucial to follow secure coding practices, such as input validation and parameterized queries, to prevent similar vulnerabilities in the future.